Data Engineer

Booz Allen Hamilton provides technology and consulting solutions for mission-driven clients. The company is seeking a Data Engineer to design, build, deploy, and maintain scalable cloud-native data platforms, pipelines, and analytics solutions while guiding multidisciplinary teams. The role supports data science, artificial intelligence and machine learning, business intelligence, and other mission-focused initiatives.

Responsibilities

• Designing cloud-native data platforms in Amazon Web Services (AWS)
• Designing scalable data lake, warehouse, and analytics solutions
• Cloud migration and modernization efforts
• Data pipelines, including data acquisition, data prep, and database architecture
• Data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
• Creating software for retrieving, parsing, and processing structured and unstructured data
• Team lead functions, creating solutions within a collaborative and cross-functional team environment
• Experience with Pyspark and Spark ecosystems such as Databricks and EMR
• Experience evaluating data analytic or science technologies and platforms
• Experience going through an A&A process or leading modifications
• Experience with cloud architecture, and evaluating and selecting cloud analytics architectures
• Experience with data marts and data warehouses, and creating, managing, and troubleshooting complex operational data flows
• Experience with source code management and integration such as GitHub
• Experience designing, developing, deploying, or testing in AWS
• Experience with scripting languages such as Python and SQL
• Experience with APIs development

Preferred

• Experience with Pyspark and Spark ecosystems such as Databricks and EMR
• Experience evaluating data analytic or science technologies and platforms
• Experience going through an A&A process or leading modifications
• Experience with cloud architecture, and evaluating and selecting cloud analytics architectures
• Experience with data marts and data warehouses, and creating, managing, and troubleshooting complex operational data flows
• Experience with source code management and integration such as GitHub
• Experience designing, developing, deploying, or testing in AWS
• Experience with scripting languages such as Python and SQL
• Experience with APIs development
• AWS Architecture Certifications such as Solution Architect Certification
• Pyspark
• Databricks
• EMR
• Data analytics technologies
• Cloud architecture
• Data marts
• Data warehouses
• Operational data flows
• Source code management
• GitHub
• AWS
• Scripting languages
• Python
• SQL
• APIs development
• AWS Architecture Certifications

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of our values
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs; individuals who do not meet the threshold are only eligible for select offerings, not inclusive of health benefits

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• 3+ years of experience designing cloud-native data platforms in Amazon Web Services (AWS)
• 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
• 2+ years of experience with cloud migration and modernization efforts
• 2+ years of experience with data pipelines, including data acquisition, data prep, and database architecture
• Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
• Experience with non-relational and semi-relational databases
• Experience creating software for retrieving, parsing, and processing structured and unstructured data
• Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment
• TS/SCI clearance with a polygraph
• Bachelor's degree in CS
• TS/SCI clearance with polygraph is required
• Experience with Pyspark and Spark ecosystems such as Databricks and EMR
• Experience evaluating data analytic or science technologies and platforms
• Experience going through an A&A process or leading modifications
• Experience with cloud architecture, and evaluating and selecting cloud analytics architectures
• Experience with data marts and data warehouses, and creating, managing, and troubleshooting complex operational data flows
• Experience with source code management and integration such as GitHub
• Experience designing, developing, deploying, or testing in AWS
• Experience with scripting languages such as Python and SQL
• Experience with APIs development
• AWS Architecture Certifications such as Solution Architect Certification

Required skills

• Amazon Web Services (AWS), Data Lakes, Data Warehouses, and Analytics Solutions, Cloud Migration and Modernization, Data Pipelines, Non-relational and Semi-relational Databases, Structured and Unstructured Data Processing, PySpark, Apache Spark, Databricks, Python, SQL, TS/SCI Clearance with Polygraph

Experience

• 3+ years